Data Modeler Jobs – Information Technology Team

Liberty Mutual Jobs

Liberty Mutual is looking for Data Modelers to join the Information Technology Team in the Seacoast Area of New Hampshire. Watch this video to learn more about a Data Modeler job with Liberty Mutual.

Data Modeler Jobs with Liberty Mutual

Recognized by Business Week Magazine as one of the best places to launch a career, Liberty Mutual is a Fortune 500 company with the breadth, depth and financial security you can count on. For more than 95 years Liberty Mutual’s purpose has been to help people live safer, more secure lives. The Information Technology division at Liberty Mutual presents outstanding opportunities to work on exciting and emerging technologies. It also presents the opportunity to work with great people, many of whom are leaders in their technology fields. Opportunities currently exist for experienced Data Modelers to join the Information Technology Team.

In this role, you’ll design and develop data models based on user and project requirements. You’ll translate business requirements into tangible data requirements through collaborative work with business partners and information management architects. Qualified candidates should have an understanding of both transactional and analytical database design concepts. You should have hands-on experience with forward and reverse engineering, and experience with industry modeling tools like CA Erwin Model Manager. A bachelor’s degree in Computer Science or a related field is required. Advance your IT career at Liberty Mutual!

What is Data Modeling?

Data modeling is a way to structure and organize data so it can be used easily by databases. Unstructured data can be found in word processing documents, email messages, audio or video files, and design programs. Data modeling doesn't want these "ugly" data; rather, data modeling wants data that is all made up in a nice, neat package for processing by a database. So in a way, data modeling is concerned with how the data looks. Data modeling is routinely used in conjunction with a database management system. Data that has been modeled and made ready for this system can be identified in various ways, such as according to what they represent or how they relate to other data. The idea is to make data as presentable as possible, so analysis and integration can be done with as little effort as necessary.

We can also think of data modeling as instructions for building a database. Concentrate on the word model, and you'll get what we're going after here. To make a "pretty" database, you will want to follow a model as a means toward your desired end. For example, if you want to analyze how many people in a given congressional district voted in the last election, you will naturally want to include a column for which party each person voted for. That kind of analysis will be valuable to members of all political parties, and it is the kind of detail that you can build into the database from the ground up, instructing the database management system to include that column of information in the resulting database. If you wanted to analyze that information specifically but didn't include a column for it in your database, you'd spend lots of time collating the data — effort that would not be necessary if you had followed the data model in the first place. Data modeling is therefore a very important skill to implement when building databases.